Review for NeurIPS paper: VIME: Extending the Success of Self- and Semi-supervised Learning to Tabular Domain

This paper proposes a new reconstruction loss for unsupervised training of representations. This loss extends auto-encoders via a pretext task that uses the marginal distribution of features. The reviewers were unanimous in their decision to accept this paper.